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Spatial Autocorrelation

Editor

Listed:
  • Grant I. Thrall
    (Department of Geography, University of Florida)

Author

Listed:
  • John Odland

    (Department of Geography, Indiana University)

Abstract

The analysis of spatial distributions and the processes that produce and alter them is a central theme in geographic research and this volume is concerned with statistical methods for analyzing spatial distributions by measuring and testing for spatial autocorrelation. Spatial autocorrelation exists whenever a variable exhibits a regular pattern over space in which its values at a set of locations depend on values of the same variable at other locations. Spatial autocorrelation is present, for example, when similar values cluster together on a map. Spatial autocorrelation statistics make it possible to use formal statistical procedures to measure the dependence among nearby values in a spatial distribution, test hypotheses about geographically distributed variables, and develop statistical models of spatial patterns. Scientific Geography Series Editor: Grant Ian Thrall.

Suggested Citation

  • John Odland, 1985. "Spatial Autocorrelation," Wholbk, Regional Research Institute, West Virginia University, number 14 edited by Grant I. Thrall, November-.
    • Handle: RePEc:rri:wholbk:14
    as

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    File URL: https://researchrepository.wvu.edu/rri-web-book/20/
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    More about this item

    Keywords

    regional science; overview; spatial autocorrelation;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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